| 2022 | | A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation | 김재근, 이제희, 허지미 |
| 2024 | | A retrospective evaluation of individual thigh muscle volume disparities based on hip fracture types in followed-up patients: an AI-based segmentation approach using UNETR | 김정택 |
| 2022 | | An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period | 진우람 |
| 2023 | | Analysis of Changes in Sleep Quality and Patterns after Hip Fracture Using Real Evidence of Artificial Intelligence Linked (REAL) Hip Cohort Data | 김정택 |
| 2020 | | Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training | 하은주 |
| 2022 | | Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review | 김정택 |
| 2022 | | Artificial intelligence for predicting survival following deceased donor liver transplantation: Retrospective multi-center study | 김봉완 |
| 2024 | | Artificial Intelligence Model Assisting Thyroid Nodule Diagnosis and Management: A Multicenter Diagnostic Study | 이다현, 하은주 |
| 2022 | | Artificial intelligence versus physicians on interpretation of printed ECG images: Diagnostic performance of ST-elevation myocardial infarction on electrocardiography | 고유라, 박민지, 소문승, 최유진 |
| 2022 | | Artificial Intelligence-Powered Spatial Analysis of Tumor-Infiltrating Lymphocytes as Complementary Biomarker for Immune Checkpoint Inhibition in Non-Small-Cell Lung Cancer | 김석휘 |
| 2022 | | Artificial intelligence–powered programmed death ligand 1 analyser reduces interobserver variation in tumour proportion score for non–small cell lung cancer with better prediction of immunotherapy response | 김석휘 |
| 2023 | | Assessing physical abilities of sarcopenia patients using gait analysis and smart insole for development of digital biomarker | 김정택 |
| 2023 | | Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) to guide referral to invasive coronary angiography in the randomized controlled CONSERVE trial | 최소연 |
| 2021 | | Automated detection of acute myocardial infarction using asynchronous electrocardiogram signals-preview of implementing artificial intelligence with multichannel electrocardiographs obtained from smartwatches: Retrospective study | 임홍석 |
| 2023 | | Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels | 황지선 |
| 2024 | | Clinical Validation of Artificial Intelligence-Powered PD-L1 Tumor Proportion Score Interpretation for Immune Checkpoint Inhibitor Response Prediction in Non-Small Cell Lung Cancer | 김석휘 |
| 2021 | | Computer-aided diagnostic system for thyroid nodules on ultrasonography: Diagnostic performance based on the thyroid imaging reporting and data system classification and dichotomous outcomes | 박정현, 하은주, 한미란 |
| 2024 | | Concepts for the Development of Person-Centered, Digitally Enabled, Artificial Intelligence–Assisted ARIA Care Pathways (ARIA 2024) | 박해심 |
| 2021 | | Deep learning for anatomical interpretation of video bronchoscopy images | 강세윤, 박성용, 유지영 |
| 2023 | | Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI | 이다현 |
| 2023 | | Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model : a retrospective cohort study | 손상용, 송정호, 신호정, 한상욱, 허훈 |
| 2020 | | Discovering hidden information in biosignals from patients using artificial intelligence | 윤덕용 |
| 2024 | | Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study | 김미란 |
| 2024 | | Improved prediction of clinical pregnancy using artificial intelligence with enhanced inner cell mass and trophectoderm images | 김미란 |
| 2024 | | Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types | 김석휘 |
| 2020 | | Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2020 | | Predicting Old-age Mortality Using Principal Component Analysis: Results from a National Panel Survey in Korea | 신재용 |
| 2024 | | Prediction of immunochemotherapy response for diffuse large B-cell lymphoma using artificial intelligence digital pathology | 노명균 |
| 2023 | | Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry | 한상욱, 허지미, 허훈 |
| 2022 | | Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study | 김태희 |
| 2021 | | Style transfer strategy for developing a generalizable deep learning application in digital pathology | 노진, 박래웅 |
| 2024 | | Surface Models of the Four Chambers in Young Adult Hearts with Average Volumes Measured by Artificial Intelligence Tools | 한미란 |
